Phenotypic variability for conformation traits of BON cattle in Colombia

Vista sencilla de ítem
dc.audienceInvestigador
dc.coverageColombia
dc.creatorMedina Ríos, Hernán Issaías
dc.creatorRamírez Toro, Edison Julián
dc.creatorCerón Muñoz, Mario Fernando
dc.creatorBurgos Paz, William
dc.date2024-11-05T15:47:25Z
dc.date2024-11-05T15:47:25Z
dc.date2022-09-06
dc.date2022
dc.date.accessioned2026-06-27T04:38:12Z
dc.descriptionThe purpose of this study was to evaluate the variability of conformation traits (CT) in three BON cattle subpopulations with different herd management. For this study, using the nine-point scores of 20 CT as well as breed characterization and nal score in 929 cows were analyzed. Descriptive statistics alongside hierarchical cluster analysis were performed. It was found that legs and feet traits had the slightest phenotypic variability whereas traits related to musculature and the fore attach and udder depth traits showed the higher variability. The herarchical clustering revealed relationships that allow analyzing the phenotypic trend between animals according to herd management and breeding objectives.
dc.descriptionCorporación Colombiana de Investigación Agropecuaria - (AGROSAVIA)
dc.descriptionUniversidad de Antioquia - UdeA
dc.descriptionGanadería bovina
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.identifierhttps://www.researchsquare.com/article/rs-1886742/v1
dc.identifier2693-5015
dc.identifierhttp://hdl.handle.net/20.500.12324/40371
dc.identifierhttps://doi.org/10.21203/rs.3.rs-1886742/v1
dc.identifierreponame:Biblioteca Digital Agropecuaria de Colombia
dc.identifierinstname:Corporación colombiana de investigación agropecuaria AGROSAVIA
dc.identifier.urihttp://hdl.handle.net/123456789/33802
dc.languageeng
dc.publisherResearcher
dc.relationResearch Square
dc.relation1
dc.relation1
dc.relation1
dc.relation15
dc.relationArelovich, H., Bravo, R., Martínez, M., 2011. Development, characteristics, and trends for beef cattle production in Argentina. Animal Frontiers, 1(2):37–45. https://doi.org/10.2527/af.2011-0021
dc.relation. Armstrong, E., Rodríguez, F., McIntosh, M., Poli., M., Cibils, A., Martínez-Quintana, A., Félix-Portillo, M., Estell, R., 2022. Genetic and productive background of Criollo cattle in Argentina, Mexico, Uruguay and the United States. Journal of Arid Environments, 200:1–10. https://doi.org/10.1016/j.jaridenv.2022.104722
dc.relationBerry, D., Pabiou, T., Fanning, R., Evans, R., Judge, M., 2019. Linear classi cation scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields. Journal of Animal Science, 97, 2329–2341. https://doi.org/10.1093/jas/skz138
dc.relationCampos, R., Cobuci, J., Costa, C., Braccini, J., 2012. Genetic parameters for type traits in Holstein cows in Brazil. Revista Brasileira de Zootecnia, 41(10), 2150–2161. https://doi.org/10.1590/S151635982012001000003
dc.relationCañas, J., Restrepo, L., Ochoa, J., Echeverri, A., Cerón-Muñoz, M., 2009. Estimación de las curvas de lactancia en ganado Holstein y BON x Holstein en trópico alto colombiano. Revista Lasallista de Investigación, 6(1):35–42. https://www.redalyc.org/articulo.oa?id=69514350006
dc.relationChavent, M., Kuentz, V., Liquet, B., Saracco, J., 2012. ClustOfVar: An R package for the clustering of variables. Journal of Statistical Software, 50(2), 1–16. https://doi.org/10.18637/jss.v050.i13
dc.relationde Faria, C., Magnabosco, C., Albuquerque, L., de los Reyes, A., Bezerra, L., Lôbo, R., 2007. Utilização de escores visuais de características morfológicas de bovinos Nelore como ferramenta para melhoramento genético. 4ª ed. Planaltina, DF: Embrapa Cerrados. https://ainfo.cnptia.embrapa.br/digital/bitstream/CPAC-2009/28911/1/doc_177.pdf
dc.relationGarcía-Ruiz, A., Ruiz-López, F., Vázquez-Peláez, C., Valencia-Posadas, M., 2016. Impact of conformation traits on genetic evaluation of length of productive life of holstein cattle. International Journal of Livestock Production, 7(11), 1–10. https://doi.org/10.5897/IJLP2016.0301
dc.relationGóes, A., Pierre, F., 2018. Melhoramento genético: utilização de escores visuais na pecuária de corte. Tekhne e Logos, 9(2):36–47. http://revista.fatecbt.edu.br/index.php/tl/article/viewFile/558/353
dc.relationHusson, F., 2016 Multivariate exploratory data analysis and data mining, from: https://cran.rproject.org/web/packages/FactoMineR/FactoMineR.pdf
dc.relationInternational Committee for Animal Recording (ICAR), 2018. Guidelines for conformation recording of dairy cattle, beef cattle and dairy goats. Section 5 Conformation Recording. https://www.icar.org/Guidelines/05-Conformation-Recording.pdf
dc.relationMartínez, R., Vásquez, R., Gallego, J., 2012. E ciencia productiva de la raza Bon en el trópico colombiano. 214 p. Editorial Corpoica, Bogotá. Colombia.
dc.relationOcampo, R., Ramirez, J., Lopera, J., Restrepo, G., Gallego, J., 2020. Genetic diversity assessed by pedigree analysis in the Blanco Orejinegro (BON) cattle breed population from the colombian germplasm bank. Chilean Journal of Agricultural and Animal Sciences, 36(1), 69–77. https://revistas.udec.cl/index.php/chjaas/article/view/1958
dc.relationPalii, A., Shkromada, O., Todorov, N., Grebenik, N., Lazorenko, A., Bondarenko, I., Boyko, Y., Brit, O., Osipenko, T., Halay, O., Paliy, A., 2020. Effect of linear traits in dairy cows on herd disposal. Ukrainian Journal of Ecology, 10(3), 88–94. https://doi.org/10.15421/2020_138
dc.relationRamírez, E., Ocampo, R., Burgos, W., Elzo, M., Martínez, R., Cerón-Muñoz, M., 2019. Estimación poligénica y genómico-poligénica para características de crecimiento en ganado Blanco Orejinegro (BON). Livestock Research for Rural Development, 31(3), 1–11. http://www.lrrd.org/lrrd31/3/ceron31030.html
dc.relation. Ramírez, E., Burgos, W., Elzo, M., Martínez, R., Cerón-Muñoz, M., 2020. Genetic parameters and trends for growth traits in Blanco Orejinegro cattle. Translational Animal Science, 4(3), 1–9. https://doi.org/10.1093/tas/txaa174
dc.relationRoveglia, C., Niero, G., Bobbo, T., Penasa, M., Finocchiaro, R., Visentin, G., Lopez-Villalobos, N., Cassandro, M., 2019. Genetic parameters for linear type traits including locomotion in Italian Jersey cattle breed. Livestock Science, 229, 131–136. https://doi.org/10.1016/j.livsci.2019.09.023
dc.relationR Core Team 2022 R: A lenguage and environment for statistical computing. R foundation for statistical computing Computing, Vienna, Austria. https://www.R-project.org/
dc.relationSánchez, L., Iglesias, A., 2009. Valoración morfológica en bovino de aptitud cárnica y razas rústicas. En C. Sañudo (Ed), Valoración morfológica de los animales domésticos (pp. 271–308). Ministerio de Medio Ambiente y Medio Rural y Marino de España.
dc.relationSchäler, J., Addo, S., Thaller, G., Hinrichs, D., 2019. Exploration of conservation and development strategies with a limited stakeholder approach for local cattle breeds. Animal, 13(12): 29222931. https://doi.org/10.1017/S1751731119001447
dc.relationSimčič, M., Luštrek, B., Štepec, M., Logar, B., Potočnik, K., 2021. Estimation of genetic parameters of type traits in rst parity cows of the autochthonous Cika cattle in Slovenia. Frontiers in Genetics, 12, 1–9. https://doi.org/10.3389/fgene.2021.724058
dc.relationSinha, R., Sinha, B., Kumari, R., Vineeth, M., Verma, M., Dayal, I., 2021. Principal component analysis of linear udder type traits and their relationship with milk yield and composition in indigenous Sahiwal cattle. Animal Bioscience, 00, 1–10. https://doi.org/10.5713/ajas.19.0619
dc.relationSofyan, H., Sudarnika, E., Satyaningtijas, A., Sumantri, C., Agungpriyono, S., 2020. The economic potential of aceh cattle based on its farmers, traders, and consumers perspective. Frontiers in Sustainability, 26:1–12. https://doi.org/10.3389/frsus.2020.546177
dc.relationValderrama, Y., Ramírez, E., Burgos, W., Martínez, R., Ocampo, R., Cerón-Muñoz, M., 2021. Estructura genética de poblaciones de ganado Blanco Orejinegro en Colombia. Livestock Research for Rural Development, 33(4), 1–10. https://lrrd.org/lrrd33/4/3353ceron.html
dc.relationZhang, Q., Xu, K., Ding, X., 2017. Investigation of feet functions of large ruminants with a decoupled model of equivalent mechanism. Biology Open, 6(4), 407–414. https://doi.org/10.1242/bio.023630
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceResearch Square; (2022): Research Square (Sep.);p. 1 - 15.
dc.subjectGenética y mejoramiento animal - L10
dc.subjectGanado bovino
dc.subjectAnálisis multivariante
dc.subjectPoblación
dc.subjectSelección
dc.subjectGanadería y especies menores
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_1391
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_28921
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_330887
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_6951
dc.thumbnailhttps://repository.agrosavia.co/bitstreams/4ff4be8e-7a19-4ac7-8a2e-3200a3a74b04/download
dc.titlePhenotypic variability for conformation traits of BON cattle in Colombia
dc.titlePhenotypic variability for conformation traits of BON cattle in Colombia
dc.typeArtículo científico

Archivos

Colecciones

Científico